Data Privacy

In today’s digital world, data privacy is more important than ever. This section of the website explores some of the key issues in data privacy, based on the author’s research and analysis.

Neural Data Privacy

One of the emerging frontiers of data privacy is neural data. This is data that is collected from the brain, and it has the potential to be used for a wide range of purposes, both good and bad. In a project on neural data privacy, the author proposed a new framework for protecting this sensitive information, called the “MIND” framework.

The MIND framework is based on four key principles:

Minimization: Collecting only the minimum amount of neural data necessary for a given purpose.
Interpretability: Ensuring that neural data is understandable to the individuals from whom it is collected.
Non-maleficence: Preventing neural data from being used to harm individuals.
Dignity: Respecting the dignity and autonomy of individuals by giving them control over their neural data.

FERPA and Student Privacy

The Family Educational Rights and Privacy Act (FERPA) is a federal law that protects the privacy of student education records. The author explored this law in detail, with a focus on the Gonzaga University v. Doe case. This case established that students cannot sue for damages if a university violates their FERPA rights.

The author argued that this ruling weakens the protections of FERPA, and that stronger legal protections are needed to ensure the privacy of student data.